Collaborative Research: A Data-Driven Approach to the Multi-Wavelength Circumgalactic Revolution

协作研究：数据驱动的多波长环银河系革命方法

• 批准号: 2206102
• 负责人: Benjamin Oppenheimer
• 金额: $ 20.62万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2206102&HistoricalAwards=false
• 关键词: Collaborative; Research; Data; Driven; Approach

In the current paradigm of galaxy formation vast streams of cool, primordial gas fall into the centers of dark matter halos. As the flows continue and density increases, the first generation of stars form in what will eventually become a young galaxy. The subsequent interaction between the cool inflowing gas and the hot ejected gas gives rise to an extensive and dynamic gaseous "atmosphere" surrounding it, called the circumgalactic medium (CGM). The CGM is important for what it can tell us about both the formation and continuing evolution of galaxies. The researchers will lead a coordinated program combining state-of-the-art hydrodynamical galaxy simulations with data from new multi-wavelength surveys capable of probing the CGM to advance our understanding of the physical processes that have shaped it over cosmic time. The award will also support a graduate student as well as a program designed to recruit, train, mentor, and support undergraduate STEM students in CGM research. This award will advance the understanding of the physics of gaseous halos as we enter the era of multi- wavelength astronomical surveys. Specifically, the researchers will (1) place novel, deep-learning constraints on CGM physics by interpreting deep eROSITA x-ray data in light of the state-of-the-art Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) results, (2) explore the use of radio 21 cm mapping and fast radio bursts (FRBs) as probes of CGM over cosmic time, and (3) develop a machine learning technique to estimate the mass of galaxy groups by combining Sloan Digital Sky Survey (SDSS) and eROSITA images. As the CGM becomes increasingly mapped both panchromatically and tomographically, statistical forecasts from ongoing, state-of-the-art cosmological simulation projects are necessary to place rigorous constraints on CGM processes that drive galaxy evolution. The researchers will also develop useful community tools that can be used to maximize the scientific returns of upcoming multi-wavelength astronomical surveys.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在当前的星系范围内广阔的凉爽流，原始气体落入暗物质光环的中心。随着流量的持续和密度的增加，第一代恒星形成最终将成为年轻的星系。随后的冷流气和热排出气体之间的随后相互作用导致其周围的广泛而动态的气态“大气”，称为卷乳层培养基（CGM）。 CGM对于可以告诉我们星系的形成和持续发展的内容很重要。研究人员将领导一项协调的计划，将最新的流体动力学模拟与来自新的多波长调查的数据结合在一起，能够探测CGM，以提高我们对在宇宙时间内塑造它的物理过程的理解。该奖项还将支持研究生以及旨在招募，培训，指导和支持本科生STEM学生的计划。当我们进入多波长天文调查的时代时，该奖项将提高对气态光环的物理学的理解。具体而言，研究人员（1）将通过对CGM物理学的新颖，深层学习的限制来解释深层X射线数据，以根据最新的宇宙学和机器学习模拟（骆驼）结果来鉴于最新的宇宙学和天体物理学的结果，（2）探索无线电21 cm映射和快速无线电（FRB）的使用（frbs of Cosm cosm cosm cosm cosm cosm cosm cosm fimimience of Cosm forsimique），以及（3）通过将斯隆数字天空调查（SDSS）和EROSITA图像结合在一起的星系组。随着CGM越来越多地映射在panchromation和phenographic上，持续的统计预测是，最先进的宇宙学仿真项目对于对驱动星系进化的CGM过程进行严格的约束是必要的。研究人员还将开发有用的社区工具，这些工具可用于最大程度地利用即将进行的多波长天文调查的科学回报。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的审查标准来评估值得通过评估来支持的。